DOI: 10.5176/2425-0112_UPPD16.29
Authors: Muzeyyen Anil Senyel
Abstract:Housing price has been considered as a function of structural, neighborhood and location characteristics of the commodity. An alternative approach, which take spatial relationships, such as neighboring and spill-over effects, into account assumes housing being a geographical feature. Therefore, housing price is expected to be highly dependent on the values of surrounding features. Following the latter approach, spatial autocorrelation is tested in Istanbul Metropolitan Area using GIS, of which results show that positive spatial autocorrelation exists regarding both distance and contiguity, which means being closer to or neighboring a district with high/low house prices matter.
Keywords: housing price; clustering; neighboring effect; distance effect; Moran’s I; GIS
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